System and method for the application of psychrometric charts to data centers

ABSTRACT

A system and method of displaying the temperature and relative humidity data of sensors on a psychrometric chart. The system and method operate to display an environmental envelope on the psychrometric chart in order to compare the data of the sensors to the environmental envelope of the psychrometric chart, in order to ensure safe operating conditions for data center equipment.

CROSS-REFERENCE TO RELATED APPLICATIONS

This Application is a Continuation of application Ser. No. 14/319,706,filed Jun. 30, 2104 as a Continuation of application Ser. No.13/038,201. Application Ser. No. 13/038,201 was filed Mar. 1, 2011,issued as U.S. Pat. No. 8,782,213 on Jul. 15, 2014 and claims priorityfrom U.S. Provisional Patent Application No. 61/309,368 filed on Mar. 1,2010. Each of these prior-mentioned applications is hereby incorporatedby reference herein in its entirety.

BACKGROUND

The invention relates to the application of psychrometric charts to datacenters, and more particularly relates to the application ofpsychrometric charts to interpretation of sensor data in data centers.

A data center is a facility used to house computer systems andassociated components. The electronic components of computer systemsgive off heat. However, these electronic components may malfunction orbe damaged in the presence of excessive heat. Further, these electroniccomponents may be damaged by both excessive and too little humidity. Inthe case of excessive humidity, condensation may occur. In the case oftoo little humidity, the occurrence of electrostatic discharge becomesmore frequent. Therefore, the physical environment of a data center isrigorously controlled. Air-conditioning is used to control both thetemperature and humidity in data centers.

The American Society of Heating, Refrigerating and Air ConditioningEngineers (ASHRAE) has published a number of guidelines to data centerenvironmental conditions widely used in the data center industry. Theseguidelines include ASHRAE Publication “Thermal guidelines for DataCenters and other Data Processing Environments”, Atlanta, 2004 (“ASHRAE2004”) and ASHRAE Publication “Best Practices for Datacom FacilityEnergy Efficiency, Second Edition”, Atlanta, 2009 (“ASHRAE 2008”), eachof which is incorporated by reference herein in its entirety. Each ofthese guidelines define an environmental envelope—a set of safeoperating ranges for the data center.

Temperature and humidity have complex interrelated behavior.Psychometrics is the field of engineering concerned with behavior ofmixtures of air and water vapor under varying conditions of heat. Thisbehavior must be taken into account when both monitoring and controllingthe temperature and humidity of a data center. Therefore the ASHRAEguidelines are best displayed as an envelope on a psychrometric chart toshow acceptable environmental values. A psychrometric chart embodies thecomplex interrelation of humidity and temperature. FIG. 1 showspsychrometric chart 102.

Dry air exists when all of the contaminants and water vapor have beenremoved from atmospheric air. Dry air is used as the reference inpsychrometrics. Moist air is a mixture of dry air and water vapor. Airtemperature is a measure of the sensible heat content of air. Sensibleheat is related to the changes in temperature that do not alter themoisture content of air. Latent Heat is related to level of moisture inthe air. The total heat of the air, or enthalpy, includes the sensibleand latent heat.

The dry bulb temperature is the air temperature determined by anordinary thermometer. The dry bulb temperature axis 104 is located atthe base of the chart. Vertical lines indicate constant dry bulbtemperature.

Wet bulb temperature is the temperature reading from a wetted bulb thatgives a direct indication as to the total heat content of air. Itreflects the cooling effect of evaporating water. Wet bulb temperaturecan be determined by passing air over a thermometer that has beenwrapped with a small amount of moist cloth. The cooling effect of theevaporating water causes a lower temperature compared to the dry bulbair temperature. The wet bulb temperature axis 108 is located along thecurved upper left portion of the chart. The downward right sloping linesindicate equal wet bulb temperatures.

Dew point temperature is the temperature below which moisture willcondense out of air. Air that is holding as much water vapor as possibleis saturated or at its dew point. Water will condense on a surface thatis at or below the dew point temperature of the air. The dew pointtemperature axis is located along the same curved portion of the chartas the wet bulb temperature axis. Horizontal lines of dew pointtemperature 109 indicate constant dew point temperature.

The absolute humidity or the humidity ratio is the ratio of the mass ofthe moisture present in the sample to the total volume of the sample.This quantity is also known as the water vapor density. The humidityration axis 106 is located at the right of the chart. Horizontal lineswould indicate equal humidity ratio.

Relative humidity is a measure of how much moisture is present comparedto how much moisture the air could hold at that temperature. Lines 110representing conditions of equal relative humidities sweep from thelower left to the upper right of the psychrometric chart.

The 100 percent relative humidity (saturation) line corresponds to thewet bulb and the dew point temperature axis line. The line for zeropercent relative humidity falls along the dry bulb temperature axisline. Thus the psychrometric chart correlates five physicalproperties—1) Dry bulb temperature, 2) Relative humidity, 3) Wet bulbtemperature, 4) Dew point temperature, and 5) absolute humidity.Knowledge of any two properties will yield the other three remainingproperties. Thus the psychrometric chart embodies the relationship ofthese variables at a given pressure, usually sea level. These variablesare also related, in some charts, to the latent and specific heat aswell as the specific volume.

Sensors are typically deployed in a data center to monitor bothtemperature and relative humidity. The density of sensor deploymentvaries widely, but a sensor every 15 feet in a datacenter is notatypical. Such sensors often include both temperature and relativehumidity measurements. From these two pieces of information all otherpsychrometric variables can be derived assuming the air pressure at sealevel. Such sensor data must be evaluated against the ASHRAE envelope inorder to evaluate if the datacenter is operating at a safe temperatureand humidity.

Heretofore, data center operations have typically not used this sensordata in a manner that includes explicit consideration of thepsychrometric variables for the equipment safety and energy-efficientoperation of the data center. These considerations have recently becomeunavoidable. In particular, then ASHRAE 2008 guidelines define anenvelope that must be considered in psychrometric context. The ASHRAE2008 guidelines were created to allow for more energy efficient coolingof data centers relative to the old AHSRAE 2004 envelope. Where theASHRAE 2004 envelope can be defined by a simple range of relativehumidity and dry bulb temperature, the ASHRAE 2008 envelope is definedby more than two psychrometric variables and is best understood byhumans on a psychrometric chart. In other words, the ASHRAE 2004envelope was defined by 4 variables (T_(DRYHI), T_(DRYLO), RH_(LO),RH_(HI)) The 2004 specifications were bounded between 20 to 25° C. (68to 77° F.) and 40 to 55% RH. Change in the 2008 ASHRAE standardsincluded decreasing the dry bulb lower limit to 18° C. (64.4° F.), andincreasing the upper limit to 27° C. (80.6° F.) The moisture limits werelowered to a 5.5° C. (41.9° F.) dew point and increased to 60% RH & 15°C. (59° F.) dew point. In order to take advantage of ASHRAE 2008envelope a psychrometric chart should be checked by a human operatorwith the environmental data against the envelope and to direct aresponse. It is impractical to plot such constant data checking by hand.Heretofore the industry has not taken advantage of automated methods andsystems of using a psychrometric chart to check the environmental dataagainst the ASHRAE guidelines by an operator.

SUMMARY OF THE INVENTION

In one or more specific embodiments, the invention may provide a systemfor displaying sensor data information in a data center. The systemincludes a plurality of environmental sensors generating a plurality ofsensor data sets, a first network connected to the plurality ofenvironmental sensors. It further includes a monitoring system connectedto the first network and a second network configured to receive saidplurality of sensor data sets over the first network, to process saidplurality of sensor data sets into a psychrometric chart, and totransmit said psychrometric chart over said second network. It furtherincludes a computer connected to the second network having a userinterface configured to receive the psychrometric chart over the secondnetwork and display the psychrometric chart. The psychometric chartdisplays a plurality of data points, each of which corresponds to one ofthe plurality of sensor data sets.

Another embodiment of the present invention provides for a method ofdisplaying temperature and humidity sensor data by transmitting a dataset including temperature data and relative humidity from one of aplurality of data sensors to a monitoring system, then plotting saiddata set as a data point on a psychrometric chart, and then transmittingupdates of said psychrometric chart to a user interface.

BRIEF DESCRIPTION OF THE DRAWINGS

For the purposes of illustration, there are forms shown in the drawingsthat are presently preferred, it being understood, however, that theinvention is not limited to the precise arrangements andinstrumentalities shown.

FIG. 1 is a generic psychrometric chart.

FIG. 2 is a schematic diagram of a one embodiment of the presentinvention.

FIG. 3 is a screenshot of one embodiment of the present invention.

FIG. 4 is a screenshot of one embodiment of the present inventionshowing sensor data but not showing the boundary region in apsychrometric chart in one embodiment of the present invention.

FIG. 5 is a screenshot of one embodiment of the present inventionshowing sensor data and showing the boundary region in a psychrometricchart.

FIG. 6 shows a flowchart showing the operation of one embodiment of thepresent invention.

FIG. 7 shows pseudo-code of one aspect of the present invention.

DETAILED DESCRIPTION OF PREFERRED EMBODIMENTS

With reference to FIG. 2 there is shown in simplified perspective a datacenter 200. The data center 200 is depicted as having a plurality ofracks 202-206 aligned in parallel rows. Each of the rows of racks202-206 is shown containing a number of racks 202 a-202 c, 204 a-204 d,and 206 a-206 c positioned on the raised floor 208. A plurality of wiresand communication lines may be located in space 210 below floor 208. Thespace 201 may also function as a plenum for delivery of cooled air fromone or more Computer Room Air Conditioners (CRAC) 214 through vent tiles212. These vent tiles 212 are located in “cool aisles” such as coolaisle 216. Cool aisle 216 is located between server rows 202 and 204.Warm aisle 218 does not have vent tiles. Warm aisle 218 is locatedbetween rows 204 and 206. The sides of the racks of 202 and 204 whichfaced the cool aisle 216 are the front of the racks and the sides of theserver rows 204 and 206 facing cool aisle to 18 are the back of theservers.

In normal operation cool air flows through the vented tiles 212 to thefronts of the racks 202 and 204. The cool air passes through the racks.The cool air flows through the back of row 204 into cool aisle 216. Theair is then returned to CRAC 214 through ventilation (not shown).

Row of racks 202-206 each contains a number of racks 202 a-c, 204 a-d,and 206 a-c. Each rack contains a plurality of components 220.Components 220 or any of a number of systems and subsystems such ascomputers, servers, and switches. Components 220 gave off a relativelylarge amount of heat. On the front of racks 202-206 are deployedsensors. Sensors 221-225 are able to sense both dry bulb temperature andrelative humidity. Sensors 221-225 are connected to network 226. Furtherconnected to network 226 is monitoring system 228 and workstation 230.In operation sensors 221-225 send temperature and relative humidity datathrough network 226 to monitoring system 228.

And it should be readily apparent to those of ordinary skill in the artthat the data center 200 depicted in FIG. 2 represents a generalizedillustration and that other components may be added or existingcomponents may be removed or modified without departing from the scopeof the invention. For example, the data center 200 may include anynumber of racks in various other components. These components 200 may bearrayed vertically or horizontally in the racks. Further data center 200may include number of racks and rack rows. Further data center 200 mayinclude alternate air flow patterns. In one example, air flow may bethrough dedicated ducting.

The air conditioners used in data centers are typically precision airconditioning systems. This distinguishes them from comfort airconditioning systems are designed for the comfort of people, not theprotection of computer-based electrical systems. Precision airconditioning systems are typically more reliable, have greater coolingcapacity, and are more precise. Modern precision air conditioningsystems are typically microprocessor controlled and are also accessibleand controllable by operators remotely over wire through the use of anumber of standard protocols such as MODBUS.

In overview, precision air conditioning systems are classified by size(cooling capacity), method of heat rejection (air cooled, water cooled,glycol cooled, or chilled water) and mounting location (floor, wall orceiling). In an air-cooled system the refrigerant is directed through acondenser (normally outdoors) where it transfers heat to theenvironment. Such a system is called a Computer Room Air Conditioner(CRAC), In a water-cooled system the heat is removed from therefrigerant in a condenser (heat exchanger normally within the indoorunit) by water. Such a system is called a Computer Room Air Handler(CRAH).

CRAC 214 may be a Computer Room Air Handler (“CRAH”). CRAC 214 iscurrently shown as an “in-row” cooler. Alternatively, CRAC 214 may be an“in-rack” cooler. Alternatively CRAC 214 may be an “in-room” cooler.

Network 226 may utilize any of a number of protocols including IPMI,SNMP, Ethernet and others. In an alternative embodiment, network 226 isa wireless network using such protocols as 802.11n. This illustrativeembodiment shows network 226 as an Ethernet network used both bymonitoring system 228 to receive temperature and humidity data from thesensors 221-225 as well as to transmit information from monitoringsystem 228 to workstation 230. In another embodiment, the network 226may be divided into a first network serving to connecting sensors221-225 and a second network connecting monitoring system 228 toworkstation 230.

In the present invention at least one of sensors 221-225 is a relativehumidity sensor. However, typically such sensors are combinationtemperature and humidity sensors. For example, such sensors may standindependent or may be part of another component 220. For example, asensor may be an integral to or attached to a Power Distribution Unit(“PDU”) such as PDU 232. Thus the sensors need not be directly connectedto network 226, but must at least be in communication with it.

Monitoring system 228 may be an application running on a server.Monitoring system 228 may be a combination of hardware and software andmay consist of a number of hardware components running on one or severalsoftware programs. In one embodiment monitoring system 228 may be asoftware application running on a virtual machine itself running on oneor a number of hardware servers. Alternatively, monitoring system 228may be a dedicated server appliance. In another embodiment themonitoring system 228 includes a web server in order to communicateinformation to workstation 230. Workstation 230 may be any computer,including a tablet or notebook computer. In the illustrative embodimentworkstation 230 implements a web browser which is used as a userinterface for the monitor system 228.

FIG. 3 shows a user interface 300 which displays processed temperatureand humidity data on the workstation 230 of monitoring system 238. Userinterface 300 has a simplified psychrometric chart 302 and controlinterfaces 304. Simplified psychrometric chart 302 as a dry bulbtemperature axis 306, a humidity ratio axis 308, and relative humiditylines 310. Shown on the psychrometric chart 302 is the ASHRAE 2004envelope 312 and the ASHRAE 2008 envelope 314. Control interface 304includes checkbox 316 to display envelope 312 and checkbox 318 toactivate envelope 314. It also includes customizable option 322. Option322 enables the user to construct a custom envelope. Such a user definedcustom envelope may be advantageous if the performance constraints ofthe specific components 220 are known for the manufacturer. In oneembodiment of the present invention, the User Interface 300 isinstantiated in a browser such as Mozilla FIREFOX. Psychrometric chart302 can be instantiated in ADOBE Flash or in HTML 5. In that embodiment,the user interface requires no downloading of separate applications tothe workstation 230. In another embodiment, workstation 230 implements astandalone application as a User Interface 300.

FIG. 4 shows a psychrometric chart 400 from user interface 300 havingdata points. Dry bulb temperature axis 402 and humidity ratio axis 404as well as relative humidity lines 406 are used to plot data points suchas data points 408 and 410.

FIG. 5 shows a psychrometric chart 500 having a dry bulb temperatureaxis 502, a humidity ratio axis 504 and relative humidity lines 506. Anumber of data points are shown, including data points 508, 510, and512. Custom envelope 514 is shown. Data point 512 is highlighted by ring516. The monitoring system 228 has highlighted data point 512 as datapoint 512 is outside the custom envelope 514.

FIG. 6 shows a flow chart 600 of the operation of one embodiment of thepresent invention. In step 602 a sensor S such as sensor 221-225transmits its data to the monitoring system 228. This data willtypically include both dry bulb temperature data and the relativehumidity data into a data set which can be summarized as T, RH. Thetransmitted data set may also include a time stamp. The transmitted dataset may also include identification data such as, for example, a sensorID number. The transmitted data set may also include location data suchas, for example, a row number, rack number and component height in rack.Alternatively, the location information could be in an x, y, zcoordinate space. In step 604 monitoring system 228 processes thistransmitted data set including (T, RH). This includes any processesnecessary to convert the data into a usable form. For example, unitconversions from Fahrenheit to Celsius or back for temperature may beprovided as the operator requests.

In step 606 the transmitted data set is checked for the presence ofrelative humidity data by the monitoring system 228. It is possible forsome of the sensors 221-225 to be only temperature sensors and thus onlysend temperature data without relatively humidity data. If there isrelative humidity data present, then the algorithm proceeds to step 608.

In steps 608, assuming relative humidity data is present, the relativehumidity data is converted by the monitor system 228 to absolutehumidity data given the temperature data and assuming pressure at sealevel and the absolute humidity data is added to the data set. Thisconversion is well known to one skilled in the art of psychrometrics. Inone embodiment of the present invention, FIG. 7 shows the pseudo-codefor the conversion. The dew point is calculated from the temperature andrelative humidity, and then the absolute humidity (called mixratio inFIG. 7) is calculated from this dew point assuming pressure at sealevel.

In step 609 the monitor system 228 plots the data set of sensor S on apsychrometric chart using data temperature as the X coordinate andabsolute humidity as the y coordinates.

In step 610 the temperature data, the relative humidity data and theabsolute humidity data of the data set are checked against anyenvironmental envelope selected, including ASHRAE 2004, ASHRAE 2008, andcustom envelopes. If the data set is inside the environmental envelope,then the algorithm proceeds to step 612. If the monitor system 228 instep 606 determines the relative humidity data is not present in thedata as the sensor S is responsible for that data set is just atemperature sensor then in step 620 the monitor system identifies thenearest humidity sensor. Such a location may be stepped by hierarchy.For example, a check to see if a humidity sensor is on the same rack,then in the same row, then in the same room. In step 624 the absolutehumidity (calculated as step 608 from relative humidity data of thatsensor) of this nearest sensor is then used as the absolute humidity ofsensor S in order to plot the data sensor as a data point on thepsychrometric chart in step 609.

In step 626, if in step 610 the monitor system 228 determines that thedata point of sensor S is outside the envelope selected by the operator,then the data point is highlighted as for instance highlight 516. Inaddition or alternatively to the highlight 516 of being encircled, adifferent color could be applied and the data point could changecharacter (to an “X” or other mark) and the data point could flash. Instep 628 the data monitor triggers an alert. The alert may be an email,an audible alarm, a text message or any other predeterminedcommunication to an operator.

In step 612 the psychrometric chart displayed at workstation 630 isupdated by data monitor 628 with data point of Sensor S. Updating mayinclude sending just the changes made to the psychrometric chart ortransmitting an entirely new psychrometric chart. In step 618 monitorsystem 228 the counter is advanced as S=S+1 and the next sensor isprocessed.

It is to be understood that that while the illustrative embodiment ofFIG. 6 processes the sensor data in a serial, iterative manner, themonitor system 228 could easily be performed as a batch process in whichmultiple sensor data sets are processed through each step beforeadvancing to the next step.

Thus the embodiments of the present invention allow an operator tobetter monitor and control the safe and energy-efficient operation of adata center by explicitly showing the environmental state in apsychrometric context. For example, an operator may easily monitor alarge number of sensors over an extended period are sensing data whichwould place the sensor outside of the environmental envelope of safeoperation such as ASHRAE 2008 envelope. By adjusting the environmentalcontrols the operator can now safe energy by running the data center atthe highest possible temperature (thus minimizing energy using cooling)for a given both relative and absolute humidity). Further, highlightsand alerts may be triggered based on this psychrometric data to furtherassist in monitoring the environmental state of the data center.

Although the invention herein has been described with reference toparticular embodiments, it is to be understood that these embodimentsare merely illustrative of the principles and applications of thepresent invention. It is therefore to be understood that numerousmodifications may be made to the illustrative embodiments and that otherarrangements may be devised without departing from the spirit and scopeof the present invention as defined by the appended claims.

The invention claimed is:
 1. A system for managing energy utilization ina datacenter including a plurality of computers, the computers utilizingenergy in dependence on an operating environment of temperature andhumidity, comprising: a plurality of sensors deployed in the datacenteraccording to a predetermined density and layout, the sensors operable togenerate data including temperature data and relative humidity data; amonitoring system including a monitoring computer and a workstationhaving an input device and a display interfaced with the monitoringcomputer, the monitoring computer operable to receive the data from thesensors and to calculate operating environment conditions in thedatacenter according to the data, the predetermined density and thelayout; the monitoring computer further operable to show on the displaya psychrometric chart indicating a desirable environmental operatingenvelope for at least one computer in the datacenter and to showoperating environment conditions falling outside the desirableenvironmental operating envelope; and at least one remotely controllableair conditioner in ventilated communication with the datacenter, whereinthe at least one remotely controllable air conditioner receivesinstructions to change temperature and humidity in the datacenter suchthat operating environment conditions fall within the desirableenvironmental operating envelope.
 2. The system of claim 1 wherein theworkstation receives an input selecting from the display one of aplurality of psychrometric charts and associated desirable environmentaloperating envelope.
 3. The system of claim 2 wherein one of theplurality of psychrometric charts and associated desirable environmentaloperating envelopes is customized from a specification of ones of thecomputers in the datacenter.
 4. The system of claim 1 wherein the atleast one remotely controllable air conditioner receives furtherinstructions to adjust temperature and humidity such that the datacenterminimizes energy utilization while maintaining the operating environmentconditions within the desirable operating envelope.
 5. The system ofclaim 1 wherein the datacenter further includes rows, the rows includingracks, and the racks including the computers and wherein the dataincludes sensor location data.
 6. The system of claim 5 wherein themonitoring computer is further operable to indicate a location of asensor sensing an environmental operating condition falling outside thedesirable environmental operating envelope.
 7. The system of claim 1wherein the sensors are deployed in known proximity to racks.
 8. Thesystem of claim 1 further comprising a first network and a secondnetwork, wherein the sensors communicate over the first network and theworkstation operates on the second network.
 9. A method of utilizingenergy in datacenter comprising a plurality of computers, the stepscomprising: generating temperature and humidity data from a plurality ofsensors deployed in the datacenter; calculating data points from thetemperature and humidity data; generating a safe operating environmentenvelope for the plurality of computers in a psychrometric context;displaying on a workstation the psychrometric context, safe operatingenvironment envelope and data points; and adjusting an operating pointof at least one air conditioner in ventilated communication with thedatacenter in response to the data points displayed on the workstation.10. The method of claim 9 further comprising the step of selecting apsychrometric context at the workstation.
 11. The method of claim 9wherein the psychrometric context is a psychrometric chart.
 12. Themethod of claim 11 further comprising the steps of customizing thepsychrometric chart and the safe operating environment to accommodatespecific operating parameters of the plurality of computers.
 13. Themethod of claim 9 wherein the at least one air conditioner comprises aremotely controllable air conditioner, and wherein the adjusting stepincludes the step of remotely sending instructions to the at least oneair conditioner.
 14. The method of claim 9 comprising the further stepof determining environmental conditions that maximize efficiency for thedatacenter and indicating the determined environmental conditions on thedisplayed psychrometric context.
 15. The method of claim 14 wherein theadjusting step includes the step of sending instructions to the airconditioner such that the air conditioner adjusts an operatingenvironment in the datacenter to maximize efficiency.
 16. The method ofclaim 9 comprising the further step of deploying the sensors in thedatacenter according to a predetermined density and a predeterminedlayout.
 17. The method of claim 9 comprising the further step ofdeploying the sensors in a communications network.
 18. The method ofclaim 9 comprising the further step of indicating a location in thedatacenter corresponding to a displayed datapoint.